Detecting Corporate Social Media Crises on Facebook Using Social Set Analysis

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    Social media crises pose significant challenges for organizations in terms of their rapid rate of spread and potential persistent negative associations in terms of brand parameters and sustained negative advocacy by internet users and/or consumers. This paper reports on a technique for detecting social media crises using social set analysis-an approach to computational social based on associational sociology and set theory. Based on a conceptual and formal model of social data, we conduct social set analysis of the facebook wall data of four diferent Danish companies. Findings show the voluminous but also transient nature of social media crises and aggregate user behavioural patterns. We discuss the implications of our findings and the application of the crisis detetction technique for analyzing other epiosodic activities such as product promotions, election campaigns.
    Social media crises pose significant challenges for organizations in terms of their rapid rate of spread and potential persistent negative associations in terms of brand parameters and sustained negative advocacy by internet users and/or consumers. This paper reports on a technique for detecting social media crises using social set analysis-an approach to computational social based on associational sociology and set theory. Based on a conceptual and formal model of social data, we conduct social set analysis of the facebook wall data of four diferent Danish companies. Findings show the voluminous but also transient nature of social media crises and aggregate user behavioural patterns. We discuss the implications of our findings and the application of the crisis detetction technique for analyzing other epiosodic activities such as product promotions, election campaigns.
    LanguageEnglish
    Title of host publicationProceedings of the 2015 IEEE International Congress on BigData
    EditorsCarminati Barbara, Latifur Khan
    Place of PublicationLos Alamitos, CA
    PublisherIEEE
    Date2015
    Pages745-748
    ISBN (Print)9781467372787
    DOIs
    StatePublished - 2015
    Event4th IEEE International Congress on Big Data: BigData Congress 2015 - New York, United States
    Duration: 27 Jun 20152 Jul 2015
    Conference number: 4
    http://www.ieeebigdata.org/2015/

    Conference

    Conference4th IEEE International Congress on Big Data
    Number4
    CountryUnited States
    CityNew York
    Period27/06/201502/07/2015
    Internet address

    Bibliographical note

    CBS Library does not have access to the material

    Cite this

    Mukkamala, R. R., Iskou Sørensen, J., Hussain, A., & Vatrapu, R. (2015). Detecting Corporate Social Media Crises on Facebook Using Social Set Analysis. In C. Barbara, & L. Khan (Eds.), Proceedings of the 2015 IEEE International Congress on BigData (pp. 745-748). Los Alamitos, CA: IEEE. DOI: 10.1109/BigDataCongress.2015.123
    Mukkamala, Raghava Rao ; Iskou Sørensen, Jannie ; Hussain, Abid ; Vatrapu, Ravi. / Detecting Corporate Social Media Crises on Facebook Using Social Set Analysis. Proceedings of the 2015 IEEE International Congress on BigData. editor / Carminati Barbara ; Latifur Khan. Los Alamitos, CA : IEEE, 2015. pp. 745-748
    @inproceedings{501aa38309c84dfba90bb71ced7fcc67,
    title = "Detecting Corporate Social Media Crises on Facebook Using Social Set Analysis",
    abstract = "Social media crises pose significant challenges for organizations in terms of their rapid rate of spread and potential persistent negative associations in terms of brand parameters and sustained negative advocacy by internet users and/or consumers. This paper reports on a technique for detecting social media crises using social set analysis-an approach to computational social based on associational sociology and set theory. Based on a conceptual and formal model of social data, we conduct social set analysis of the facebook wall data of four diferent Danish companies. Findings show the voluminous but also transient nature of social media crises and aggregate user behavioural patterns. We discuss the implications of our findings and the application of the crisis detetction technique for analyzing other epiosodic activities such as product promotions, election campaigns.",
    author = "Mukkamala, {Raghava Rao} and {Iskou S{\o}rensen}, Jannie and Abid Hussain and Ravi Vatrapu",
    note = "CBS Library does not have access to the material",
    year = "2015",
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    language = "English",
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    Mukkamala, RR, Iskou Sørensen, J, Hussain, A & Vatrapu, R 2015, Detecting Corporate Social Media Crises on Facebook Using Social Set Analysis. in C Barbara & L Khan (eds), Proceedings of the 2015 IEEE International Congress on BigData. IEEE, Los Alamitos, CA, pp. 745-748, New York, United States, 27/06/2015. DOI: 10.1109/BigDataCongress.2015.123

    Detecting Corporate Social Media Crises on Facebook Using Social Set Analysis. / Mukkamala, Raghava Rao; Iskou Sørensen, Jannie; Hussain, Abid; Vatrapu, Ravi.

    Proceedings of the 2015 IEEE International Congress on BigData. ed. / Carminati Barbara; Latifur Khan. Los Alamitos, CA : IEEE, 2015. p. 745-748.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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    T1 - Detecting Corporate Social Media Crises on Facebook Using Social Set Analysis

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    N1 - CBS Library does not have access to the material

    PY - 2015

    Y1 - 2015

    N2 - Social media crises pose significant challenges for organizations in terms of their rapid rate of spread and potential persistent negative associations in terms of brand parameters and sustained negative advocacy by internet users and/or consumers. This paper reports on a technique for detecting social media crises using social set analysis-an approach to computational social based on associational sociology and set theory. Based on a conceptual and formal model of social data, we conduct social set analysis of the facebook wall data of four diferent Danish companies. Findings show the voluminous but also transient nature of social media crises and aggregate user behavioural patterns. We discuss the implications of our findings and the application of the crisis detetction technique for analyzing other epiosodic activities such as product promotions, election campaigns.

    AB - Social media crises pose significant challenges for organizations in terms of their rapid rate of spread and potential persistent negative associations in terms of brand parameters and sustained negative advocacy by internet users and/or consumers. This paper reports on a technique for detecting social media crises using social set analysis-an approach to computational social based on associational sociology and set theory. Based on a conceptual and formal model of social data, we conduct social set analysis of the facebook wall data of four diferent Danish companies. Findings show the voluminous but also transient nature of social media crises and aggregate user behavioural patterns. We discuss the implications of our findings and the application of the crisis detetction technique for analyzing other epiosodic activities such as product promotions, election campaigns.

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    Mukkamala RR, Iskou Sørensen J, Hussain A, Vatrapu R. Detecting Corporate Social Media Crises on Facebook Using Social Set Analysis. In Barbara C, Khan L, editors, Proceedings of the 2015 IEEE International Congress on BigData. Los Alamitos, CA: IEEE. 2015. p. 745-748. Available from, DOI: 10.1109/BigDataCongress.2015.123